1,720,960 research outputs found
A bait we cannot avoid: Food-induced motor distractibility
No full textFood is so central to humans’ life that keeping our mind away from it is not an easy task. Because of its strong motivational value, food cues attract our attention. However, often food is truly not relevant to our on-going activities. In the present study we investigated the distracting role that task-irrelevant foods (natural and manufactured) and food-cues play in performing goal-directed reaching movements. We explored whether spatial and temporal parameters of reaching movement were influenced by the presence of task-irrelevant stimuli (i.e., distractor effect), and whether this effect was modulated by participants’ implicit and explicit ratings of food items and participants’ tendency to restrain their diet. First we found that the movement trajectory veered consistently toward food items and food-related distractors. Second, we found that participants’ own evaluation of natural and manufactured food played a differential predicting role of the magnitude of temporal and spatial parameters of the distractor effect induced by these types of food. We conclude that perceptual and attentional systems provide preferential access to stimuli in the environment with high significance for organisms
Dinamiche temporali sottostanti alla modulazione dell’attenzione sociale da parte dello status
No full textImplicit and explicit evaluations of foods: The natural and transformed dimension
No full textIn Western societies, choosing what to eat can be a demanding task due to the excessive availability of food. To make our feeding decisions more complex, our explicit and implicit evaluations of foods may differ as they are multi-attribute stimuli. Previous research has focused on investigating implicit and explicit evaluations towards high and low energy dense foods, the main finding being that participants’ hunger level and dietary habits (restrained eating) modulate such evaluations. In the present study, we investigated whether normal-weight healthy individuals assigned different values to natural and transformed foods depending on implicit (assessed with the Implicit Association Test) or explicit measures (assessed with explicit ratings), and whether participants’ hunger level or dietary habits modulated the responses at both levels. Our results showed that while for natural foods implicit and explicit measures (healthiness) seemed to converge, dietary habits or hunger level did not affect such evaluations. For transformed foods, a dissociation between implicit and explicit measures (healthiness) seemed to emerge, along with a strong modulation of dietary habits and hunger level on the evaluations of such foods. Thus, these findings reveal how the type of food can modulate evaluations at both the implicit and explicit level and highlight a critical role of long-term health consequences and eating patterns in food evaluations
Contro ogni aspettativa! Sguardo e frecce generano un orientamento automatico dell'attenzione
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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